Explore
MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
A MCP that turns PDFs into structured text, tables, figures, metadata, annotations, and page-level evidence for selective retrieval by MCP-compatible AI agents. Improves the information quality AI age
in the readmeEnvironment]::GetEnvironmentVariable("Path", "User") npm.cmd install --global " (Get-Command pdf-decompiler-mcp.cmd).Source pdf-decompiler-mcp.cmd doctor --cache-mode none --allow-root "C:\Documents\PDFs" ``` The path command prints the
SkillAGPL-3.0★ 17No key
Local runs on your computer · Local + Cloud also runs on Conduit’s servers · Hosted is run by its author, you connect by URL
Self-hosted URL- and file-to-Markdown service for humans and AI agents - web pages, documents, images, audio, YouTube. PWA + REST + MCP + Claude Code skill, Reddit-aware, refreshable share links.
in the readmethat works as a stable live-endpoint: `GET /s/:id` returns the cached markdown and re-fetches from the source if older than one hour. Use
SkillAGPL-3.0★ 487No key
Self-host your Obsidian vaults: a web UI for you, MCP for your AI agents. No Obsidian, no plugins required.
in the readmelinks, backlinks, keyword search, semantic search, graph data, and metadata. If the cache is deleted, Hatchdoor rebuilds it from the vault. Hatchdoor was built with
DockerAGPL-3.0★ 57No key
Cut the tokens your IDE-to-LLM coding session is billed for. Stops re-sending files the model already has, places provider cache breakpoints where they cover the request, and compresses what needs sen
Node.jsAGPL-3.0★ 4Few starsNo key
The open-source workspace for people and AI agents. Docs, databases and realtime collaboration with an MCP server in the same binary, so agents work in the same workspace on the same permissions. One
in the readmeghcr.io/saltmd/salt.md:latest ``` There is nothing else to install: no database server, no cache, no object store. Reverse proxies, TLS and backups are in the self-hosting
GoAGPL-3.0★ 159No key
Read and edit Excel workbooks with your AI assistant, and know which numbers are calculated, cached or missing.
PythonAGPL-3.0★ 1Few starsNo key
DWG file format access for AI via MCP. Connect DWG files to Claude, ChatGPT, Codex, Cursor, and other AI clients.
in the readmebuild from GitHub Releases on first use, verifies its SHA-256 checksum, caches it, and runs it directly. Docker and a separate Python installation are not
SkillGPL-3.0★ 18No key
A standalone terminal agent in a single C file. Model agnostic (13 providers + local hako), skill-driven, tool permission gated. No node, no python.
in the readmedown to a phone-width terminal :models · the provider's own catalog, cached and filterable :theme swatches · :model narrowed with / Local first. Auto-defaults to any
SkillGPL-3.0★ 12No key
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译,支持 Google/DeepL/Ollama/OpenAI 等服务,提供 CLI/GUI/MCP/Docker/Zotero
in the readmedownloads. PyMuPDF supplies the OCR engine; the optional extra adds Pooch for cached downloads. No separate Tesseract executable is required. OCR words are regrouped into paragraphs
PythonAGPL-3.0★ 38kNo key
Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-
in the skill texttransitions via lint; immutable event log | | **Repeat ingest is expensive** | 3-layer cache (embedding, LLM, provider prompt) — repeat lint on unchanged pages costs near-zero tokens
SkillAGPL-3.0★ 1.6kNo key
MCP server that exposes a V8 JavaScript runtime as a tool for AI agents like Claude and Cursor. Supports persistent heap snapshots via S3 or local filesystem, and is ready for integration with modern
in the readmepersist/restore V8 state across calls (local FS, S3, or S3 + write-through cache), or run **stateless**. - **WebAssembly** — the standard `WebAssembly` API, plus pre-loaded modules (`--wasm
SkillAGPL-3.0★ 61No key
Web fetch, search, and crawl for AI agents. Built from scratch in Rust. No keys, no accounts. AGPL v3.
in the readmelocating a moved copy; query parameters and fragments are excluded. Repeat calls are cache-backed: a repeated search returned in ~10ms against ~5.0s cold
SkillAGPL-3.0★ 818No key
Scroll-driven websites from one YAML file: generated film, live 3D, data stories, maps. Runs locally, no API keys; Claude can drive it via MCP.
in the readmeURLs; images can be generated locally from a prompt (`generate:`). Builds are cached per stage, so editing copy never re-renders a film. A theme can
PythonAGPL-3.0★ 48No key
Fast, deterministic document parser and chunker for RAG and agent pipelines. Ships an MCP server for agents navigating long documents with precision.
in the readmeagain on every question: ```python from pathlib import Path import docslicer cache = Path("annual_report.json") if cache.exists(): result = docslicer.ParseResult.load(cache) else: result = docslicer.parse_document("annual_report.pdf") result.save(cache
PythonAGPL-3.0★ 36No key
Multimodal web content extraction engine backed by Qt WebEngine.
in the readmeFILES` | `""` | Allow reading local files (`file://` URLs, local paths) for clients | | `PDF_CACHE_MAX_BYTES` | `67108864` | Total memory budget (bytes) for cached PDF downloads (64 MiB
PythonGPL-3.0★ 27No key
Who stands behind it
Who stands behind it